Topic
Cyber-physical system
About: Cyber-physical system is a research topic. Over the lifetime, 11096 publications have been published within this topic receiving 162489 citations. The topic is also known as: CPS.
Papers published on a yearly basis
Papers
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16 Jul 2012TL;DR: Several examples on how a more holistic, cyber-physical systems design approach where the semantic gap between high-level control models and their actual implementations on multiprocessor automotive platforms is quantified and consciously closed are given.
Abstract: Systems with tightly interacting computational (cyber) units and physical systems are generally referred to as cyber-physical systems. They involve an interplay between embedded systems, control theory, real-time systems and software engineering. A very good example of cyber-physical systems design arises in the context of automotive architectures and software. Modern high-end cars have 50–100 processors or electronic control units (ECUs) that communicate over a network of buses such as CAN and FlexRay. In such complex settings, traditional control-theoretic approaches - where control engineers are only concerned with high-level plant and controller models - start breaking down. This is because implementation-level realities such as message delay, jitter, and task execution times are not adequately considered when designing the controller. Hence, it is becoming necessary to adopt a more holistic, cyber-physical systems design approach where the semantic gap between high-level control models and their actual implementations on multiprocessor automotive platforms is quantified and consciously closed. In this paper we give several examples on how this may be done and the current research challenges in this area that are being faced by the academia and the industry.
50 citations
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TL;DR: This paper solves the problem of reliability enhancement of an automotive function under energy and response-time constraints based on the dynamic voltage and frequency scaling technique and enhances reliability as much as 16.66% compared with its counterpart.
Abstract: Automotive cyber-physical systems are energy-aware and safety-critical systems where energy consumption should be controlled from a perspective of design constraints and reliability should be enhanced toward functional safety goal assurance. In this paper, we solve the problem of reliability enhancement of an automotive function (i.e., functionality or application) under energy and response-time constraints based on the dynamic voltage and frequency scaling technique. The problem is solved by a two-stage solution, namely, response-time reduction under energy constraint and reliability enhancement under energy and response-time constraints. The first stage is solved by proposing average energy preallocation, and the second stage is solved by proposing a reliability-enhancement technique based on the first stage. Examples and experiments show that the proposed solution can not only assure energy and response-time constraints, but also enhances reliability as much as 16.66% compared with its counterpart.
50 citations
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TL;DR: In this article, a force-feedback controller based on a discretization of Newton's laws is proposed to control the mass-spring-damping parameters in virtual space and in up to six degrees of freedom.
50 citations
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TL;DR: A low-coupling system based on the edge computing platform to counter coupling problems for CPSs and improves the Kuhn-Munkres algorithm to obtain the maximum matching between users' requests and resources to achieve optimal resource distribution.
Abstract: Cyber-physical systems (CPSs) have become more complex, more sophisticated, and more intelligent. In addition to this complexity, they have also been exposed to some important disturbances due to unintentional and intentional events since the number of cyber attacks has increased, and their behaviors have become more sophisticated. The openness, virtualization, and ubiquitous access traits of the combination of CPS and cloud computing may cause coupling problems. When malicious users or attackers simultaneously request the same physical nodes, it may lead to a failure of services as well as a security threat to the system. In this article, we design a low-coupling system based on the edge computing platform to counter coupling problems. The edge computing platform acts as a middleware platform and provides the scheduling method. Based on the edge computing platform and artificial intelligence technology, we design two buffer queues to reduce the coupling degree of the system in parallel. Moreover, we improve the Kuhn-Munkres algorithm to obtain the maximum matching between users' requests and resources to achieve optimal resource distribution. The experimental results indicate that the proposed edge-based scheme can effectively counter the coupling problem for CPSs.
50 citations
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TL;DR: Experimental results demonstrate that the approach can identify malicious MSN nodes faster than other similar approaches, and a trust-based intrusion detection approach based on behavioral profiling is designed.
50 citations